SCOPE

Nervous systems are efficient computing substrates that outperform conventional architectures in many real-world tasks, particularly in pattern recognition, classification and sensory-motor integration. Computational neuroscience has made tremendous progress in uncovering the key principles by which neural systems process information, and ICT has advanced to a point where it is possible to integrate a comparable number of transistors in a VLSI system as neurons in a mammalian brain. This session provides a forum for researchers, engineers, and students from all over the world to discuss the state-of-the-art in computational neuroscience, neural representations and processing primitives in soft- and hardware, signal processing models and machine intelligence by learning from nature and mimicking nervous system function.

CO-CHAIRS

Axel Blau Fondazione Istituto Italiano di Tecnologia (IIT) Italy

Brief BioAxel Blau is team leader for neuromimetic architectures for information processing and biosensing devices at IIT. He holds a diploma (1995) and a PhD (1999) degree in physical chemistry both from the University of Tuebingen, Germany. From 1999 to 2001 he was a postdoctoral scholar in neurobiology at the California Institute of Technology focusing on optical recording techniques. Between 2002 and 2007 he held an assistant professorship in physics at the University of Kaiserslautern, Germany.

Martin McGinnity Nottingham Trent University United Kingdom

Brief BioProf. Martin McGinnity is the Dean of Science and Technology at Nottingham Trent University, United Kingdom, and is responsible for the strategic direction and management of the School's staff, academic provision and research activities. Formerly, he was Director of the Intelligent Systems Research Centre, Acting Associate Dean of the Faculty of Computing and Engineering and Head of the School of Computing and Intelligent Systems at the University of Ulster. He is a Fellow of the IET, SMIEEE and a Chartered Engineer.

Fearghal Morgan National University of Ireland, Galway Ireland

Brief BioProf. Fearghal Morgan directs the Bio-Inspired Electronics and Reconfigurable Computing research at the National University of Ireland in Galway, Ireland. Reconfigurable Computing (RC) research includes run-time scheduling for scalable reconfigurable accelerators, secure RC reconfiguration and design IP protection and application of FPGAs to high speed optical wavefront sensing. Bio-Inspired Electronics research includes the development of biologically inspired strategies to derive more complex, self-adapting electronic devices, and the software and hardware implementation of spiking neural networks (SNN) targeting a mixed signal Network on Chip/analogue neuron SNN device.

Andoni Mujika Vicomtech-IK4 Spain

Brief BioAndoni Mujika holds a degree in Mathematics from the University of the Basque Country (2002-2007). He spent his last study year at the Aarhus University (Denmark). In 2010, he graduated (MSc) in Mathematical Modelling, Statistics and Computation at the University of Basque Country (Spain). Since 2007, he has been working as a researcher in the Interactive Computer Graphics Department of the Technology Centre Vicomtech-ik4 (Visual Interaction & Communication Technologies). During these years, he has attended several international conferences and published several papers. He currently pursues his PhD in Computer Science at the Rey Juan Carlos University in Madrid (Spain).

IMPORTANT DATES

Authors should submit either a complete paper or an extended abstract in English, carefully checked for correct grammar and spelling, in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates. Please also check the Guidelines and Templates. Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris

PUBLICATIONS

All accepted Extended Abstracts will be published in the Book of Abstracts of the congress and on CD-ROM support, without ISBN. All accepted Complete Papers (full and short) will be published in the Congress Proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRefand every paper is given a DOI (Digital Object Identifier). The Congress Proceedings will be submitted to appropriate indexes for indexation. A short list of presented papers will be selected so that revised and extended versions of these papers may be published by IOP Publishing on Journal of Neural Engineering.

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